4 publications
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis PerspectivesBy Mritunjay Kumar Ranjan, Sanjay Kumar Tiwari, Arif Md. Sattar
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article →
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Accelerating Cross-platform Development with Flutter FrameworkBy Arif Md. Sattar, Preetam Soni, Mritunjay Kumar Ranjan, Amar Kumar, Chandrahas Sahu, Shilpi saxena, Prafulla Chaudhari
Abstract: The need for businesses to spread the word about their wares to a larger audience has led to the rise in popularity of cross-platform mobile application development in recent years. Google created the open-source Flutter framework for creating mobile apps. It has rapidly replaced other options as the method of choice for developing high-quality, cross-platform software. Flutter's cross-platform compatibility across macOS, Linux, and Windows is only one of its many …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article →
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Unveiling Distinctions: An In-depth Comparative Study of Cloudera, Microsoft Azure, and Amazon Web ServicesBy Md. Shadab Shams, S.M. Asif, Arif Md. Sattar, Mritunjay Kr. Ranjan
Abstract: The purpose of this study is to compare and contrast the different on-premises and cloud-based Hadoop distributions. We will also analyze and contrast various cloud-based offerings and parts. We have settled on Cloudera as our Hadoop distribution of choice and Amazon and Azure as our cloud distribution services of choice. The advent of distributed cloud services has made it feasible to utilize and integrate a wide range of IT services …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 27–34 Read article →
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Python: Empowering Data Science Applications and ResearchBy Mritunjay Ranjan, Krishna Barot, Vaishnavi Khairnar, Vaishnavi Rawal, Anujaa Pimpalgaonkar, Shilpi saxena, Arif Md. Sattar
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article →